Stephen L. Morrell

159 papers receiving 4.3k citations

Stephen L. Morrell's Hit Papers

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms 2020 · 306 citations
3060+4+8Years since publication100200300400

Peers

Stephen L. Morrell
Comparison fields: 5 of 194
  • Health Informatics 76
  • Health 376
  • Clinical Psychology 696
  • Speech and Hearing 197
  • General Health Professions 606
Replace Malcolm Ross Sim with:
Malcolm Ross Sim Australia
Grant M. Russell Australia
Haldun Akoğlu Türkiye
Gavin F Pereira Australia
Xiaoming Shi China
Mark S. Gilthorpe United Kingdom
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Countries citing papers authored by Stephen L. Morrell

Since Specialization
Citations

This map shows the geographic impact of Stephen L. Morrell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen L. Morrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Morrell more than expected).

Fields of papers citing papers by Stephen L. Morrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Morrell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen L. Morrell. The network helps show where Stephen L. Morrell may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen L. Morrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen L. Morrell Line = papers co-authored together Stephen L. Morrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of life expectancy and infant mortality estimations for Australian Aboriginal people
Hit paper breakdown →
2014437
2
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Hit paper breakdown →
2020306
3 2005135
4 2010128
5 1993125
6 2009107
7 199798
8 198390
9 199485
10 200677
11 200377
12 200575
13 199875
14 200673
15 200465
16 198665
17 199864
18 200563
19 200763
20 201662

About Stephen L. Morrell

Stephen L. Morrell is a scholar working on Water Science and Technology, Health, Mechanical Engineering, Clinical Psychology and Speech and Hearing, having authored 163 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mineral Processing and Grinding (29 papers), Minerals Flotation and Separation Techniques (19 papers), Suicide and Self-Harm Studies (18 papers), Global Cancer Incidence and Screening (17 papers), Mining Techniques and Economics (11 papers), Noise Effects and Management (10 papers), Health disparities and outcomes (10 papers) and Cervical Cancer and HPV Research (9 papers). The work is most often cited by research in Health Informatics (76 citations), Health (376 citations), Clinical Psychology (696 citations), Speech and Hearing (197 citations) and General Health Professions (606 citations). Stephen L. Morrell has collaborated with scholars based in Australia, Fiji and United States. Frequent co-authors include Richard J. Taylor, Susan Quine, Andrew Page, John Spencer M. Daniels, Bronwen Phillips, Gregory Leigh Carter, Alan Trevor Critchley, Charles B. Kerr, William F. Farnham and T. J. Napier-Munn. Their work appears in journals such as Minerals Engineering, Australian and New Zealand Journal of Public Health, BMC Public Health, Social Science & Medicine and Journal of Medical Screening.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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